Triple
T2629923
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GDB remote serial protocol |
E59606
|
entity |
| Predicate | negativeAcknowledgmentCharacter |
P42344
|
FINISHED |
| Object | - |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: - | Statement: [GDB remote serial protocol, negativeAcknowledgmentCharacter, -]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: negativeAcknowledgmentCharacter Context triple: [GDB remote serial protocol, negativeAcknowledgmentCharacter, -]
-
A.
negates
Indicates that one entity denies, contradicts, or renders false the assertion, state, or effect expressed by another.
-
B.
negativeFormulation
Indicates that the associated statement, condition, or requirement is expressed in a negated or prohibitive form rather than an affirmative one.
-
C.
neutralized
Indicates that one entity has rendered another entity ineffective, harmless, or no longer able to exert its intended effect.
-
D.
nonConstructive
Indicates that the relationship or action does not provide a direct, explicit method or example to realize or build the object, outcome, or proof it asserts exists.
-
E.
notTypically
Indicates that the referenced situation, behavior, or relationship does not usually or normally occur under standard or expected conditions.
- F. None of above. chosen
Provenance (4 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ab4ac8596c8190b34997e73d9e991c |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abdb0e7b888190bfa5d2e33f00ec0f |
completed | March 7, 2026, 8 a.m. |
| PD | Predicate disambiguation | batch_69abd810d7f481908e81c305772c4c14 |
completed | March 7, 2026, 7:47 a.m. |
| PDg | Predicate description generation | batch_69abdb0bf9b881908b239c1310c7bbf3 |
completed | March 7, 2026, 8 a.m. |
Created at: March 6, 2026, 9:50 p.m.